Senior Data Quality & Investigative Analyst

Job Title: Senior Data Quality & Investigative Analyst

Experience Level: 5+ Years

Location: Remote / Vadodara 

Employment Type: Full-Time

Working Hours: US Shift (10-hour shift including a 1-hour break)

Job Overview:

We are looking for a Senior Data Quality & Investigative Analyst to investigate data anomalies, identify quality issues, and perform root-cause analysis across large-scale datasets. The role involves advanced SQL querying, Python-based automated validation, and collaboration with Data Engineering, Data Science, Product, and Operations teams to improve data accuracy, reliability, and consistency.

Key Responsibilities:

• Investigate data anomalies, inconsistencies, and quality issues across large-scale datasets.
• Perform root-cause analysis of data pipeline, ETL, and data processing issues.
• Develop and enhance automated quality assurance (QA) validation checks using SQL and Python.
• Conduct macro-level data analysis and detailed record-level investigations.
• Collaborate with Data Engineering, Data Science, Product, and Operations teams to resolve data quality issues.
• Document investigation findings, business impacts, and remediation recommendations.

Qualifications & Skills:

• Strong experience working with large-scale, complex datasets.
• Advanced SQL querying and data investigation skills.
• Ability to develop Python scripts for automated data validation and analysis.
• Experience with cloud data warehouses, preferably Google BigQuery.
• Strong analytical, investigative, and problem-solving abilities.
• Excellent English communication and documentation skills.

Preferred Qualifications:

• Experience with Data Quality, Master Data Management (MDM), Entity Resolution, Record Linkage, or Knowledge Graphs.
• Exposure to geospatial, address, or corporate entity datasets.
• Familiarity with Jira, Confluence, Slack, and Git-based workflows.
• Educational background in Data Analytics, Statistics, Information Systems, Computer Science, or a related field.